Prediction method for surface finishing of spiral bevel gear tooth based on least square support vector machine

IMR OpenIR

	Prediction method for surface finishing of spiral bevel gear tooth based on least square support vector machine
其他题名	Prediction method for surface finishing of spiral bevel gear tooth based on least square support vector machine
	Ma Ning 1; Xu Wenji 1; Wang Xuyue 1; Wei Zefei 1; Pang Guibing 3
	2011
发表期刊	JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY
ISSN	1005-9784
卷号	18 期号:3 页码:685-689
摘要	The predictive model of surface roughness of the spiral bevel gear (SBG) tooth based on the least square support vector machine (LSSVM) was proposed. A nonlinear LSSVM model with radial basis function (RBF) kernel was presented and then the experimental setup of PECF system was established. The Taguchi method was introduced to assess the effect of finishing parameters on the gear tooth surface roughness, and the training data was also obtained through experiments. The comparison between the predicted values and the experimental values under the same conditions was carried out. The results show that the predicted values are found to be approximately consistent with the experimental values. The mean absolute percent error (MAPE) is 2.43% for the surface roughness and 2.61% for the applied voltage.
其他摘要	The predictive model of surface roughness of the spiral bevel gear （SBG） tooth based on the least square support vector machine （LSSVM） was proposed. A nonlinear LSSVM model with radial basis function （RBF） kernel was presented and then the experimental setup of PECF system was established. The Taguchi method was introduced to assess the effect of finishing parameters on the gear tooth surface roughness, and the training data was also obtained through experiments. The comparison between the predicted values and the experimental values under the same conditions was carried out. The results show that the predicted values are found to be approximately consistent with the experimental values. The mean absolute percent error （MAPE） is 2.43% for the surface roughness and 2.61% for the applied voltage.
关键词	pulse electrochemical finishing (PECF) surface roughness least squares support vector machine (LSSVM) prediction
收录类别	CSCD
语种	英语
资助项目	[National Natural Science Foundation of China] ; [Liaoning Science and Technology Foundation, China]
CSCD记录号	CSCD:4222038
引用统计
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/155771
专题	中国科学院金属研究所
作者单位	1.大连大学 2.中国科学院金属研究所 3.Dalian Polytech University, Sch Mech Engn & Automat, Dalian 116034, Peoples R China
推荐引用方式 GB/T 7714	Ma Ning,Xu Wenji,Wang Xuyue,et al. Prediction method for surface finishing of spiral bevel gear tooth based on least square support vector machine[J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY,2011,18(3):685-689.
APA	Ma Ning,Xu Wenji,Wang Xuyue,Wei Zefei,&Pang Guibing.(2011).Prediction method for surface finishing of spiral bevel gear tooth based on least square support vector machine.JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY,18(3),685-689.
MLA	Ma Ning,et al."Prediction method for surface finishing of spiral bevel gear tooth based on least square support vector machine".JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY 18.3(2011):685-689.